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Sleep Staging on ISRUC (test)
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82.4
Accuracy
CNN
61.288
66.769
72.25
77.731
Oct 14, 2019
Accuracy
ROC-AUC
Cohen's Kappa
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
ROC-AUC
Cohen's Kappa
CNN
2019.10
82.4
87.8
0.772
SLEEPER-GBT
Prototypes=96, Classif...
2019.10
80.1
86
0.741
SLEEPER-DT
Prototypes=96, Classif...
2019.10
78.5
84.7
0.72
SLEEPER-LR
Prototypes=96, Classif...
2019.10
77
84.9
0.699
Rule & GBT
Rules=96, Classifier=G...
2019.10
69.3
78.8
0.594
Rule & LR
Rules=96, Classifier=L...
2019.10
69.1
79
0.593
Rule & DT
Rules=96, Classifier=D...
2019.10
67.1
78.2
0.564
Mimic learning - GBT
Classifier=Gradient Bo...
2019.10
62.1
76.4
0.514
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